Question

我需要在Timestamps列上进行合并，但行为取决于是否设置了时区。

以下代码可以正常使用

$keyterms = $_GET['term'];
$query = $database->query("SELECT * FROM table WHERE A LIKE '%".$keyterms."%'    ORDER BY A ASC");
while ($row = $query->fetch_assoc()) {
    $data[] = [
        'value' => $row['B']
        ,'label' => '<img src="' . $row['imgurl'] . '">'
    ];
}
echo json_encode($data);

相反，这不是

import pandas as pd, datetime
now = datetime.datetime.now()
df1 = pd.DataFrame({'ts': pd.to_datetime([now])})
df2 = pd.DataFrame({'ts': pd.to_datetime([now])})
pd.merge(df1, df2, on='ts')

我有以下错误

import pandas as pd, datetime
now = datetime.datetime.now().replace(tzinfo=pytz.utc)
df3 = pd.DataFrame({'ts': pd.to_datetime([now])})
df4 = pd.DataFrame({'ts': pd.to_datetime([now])})
pd.merge(df3, df4, on='ts')

我的环境：

python 3.4
pandas 0.17.0
numpy 1.10.1

dtypes不同：

/path/to/env3.4/lib/python3.4/site-packages/pandas/tools/merge.py in merge(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator)
     33                          right_index=right_index, sort=sort, suffixes=suffixes,
     34                          copy=copy, indicator=indicator)
---> 35     return op.get_result()
     36 if __debug__:
     37     merge.__doc__ = _merge_doc % '\nleft : DataFrame'

/path/to/env3.4/lib/python3.4/site-packages/pandas/tools/merge.py in get_result(self)
    194             self.left, self.right = self._indicator_pre_merge(self.left, self.right)
    195 
--> 196         join_index, left_indexer, right_indexer = self._get_join_info()
    197 
    198         ldata, rdata = self.left._data, self.right._data

/path/to/env3.4/lib/python3.4/site-packages/pandas/tools/merge.py in _get_join_info(self)
    323              right_indexer) = _get_join_indexers(self.left_join_keys,
    324                                                  self.right_join_keys,
--> 325                                                  sort=self.sort, how=self.how)
    326 
    327             if self.right_index:

/path/to/env3.4/lib/python3.4/site-packages/pandas/tools/merge.py in _get_join_indexers(left_keys, right_keys, sort, how)
    514 
    515     # get left & right join labels and num. of levels at each location
--> 516     llab, rlab, shape = map(list, zip( * map(fkeys, left_keys, right_keys)))
    517 
    518     # get flat i8 keys from label lists

TypeError: type object argument after * must be a sequence, not map

大熊猫的约会处理有点神秘。你必须知道：

如果您操作datetime.datetime，numpy.datetime64或pandas.Timestamp
有或没有时区
秒/毫秒/微秒/纳秒精度

我在这里缺少什么？

Answer 1

这是0.17.0中的错误，已在主人here中修复，并将在即将到来的0.17.1中。

w / o tz

In [13]: now = datetime.datetime.now()

In [14]: df1 = pd.DataFrame({'ts': pd.to_datetime([now])})

In [15]: df2 = pd.DataFrame({'ts': pd.to_datetime([now])})

In [16]: pd.merge(df1, df2, on='ts')
Out[16]: 
                          ts
0 2015-11-01 18:33:59.771962

用tz

In [8]: now = datetime.datetime.now().replace(tzinfo=pytz.utc)

In [9]: df3 = pd.DataFrame({'ts': pd.to_datetime([now])})

In [10]: df4 = pd.DataFrame({'ts': pd.to_datetime([now])})

In [11]: pd.merge(df3, df4, on='ts')
Out[11]: 
                                ts
0 2015-11-01 18:32:46.801009+00:00

使用tzinfo合并时间戳列时，pandas.merge失败

1 个答案: